
#TRAIN_PATH = '/Users/didi/Downloads/train'
#LABEL_PATH = '/Users/didi/Downloads/'

#TRAIN_STD = [0.2648431067741028, 0.2606256902653438, 0.26538460981082046]
#TRAIN_MEAN = [0.39091378793393816, 0.45037754368027466, 0.47364248847284746]

from datetime import datetime


#cv2
#TRAIN_MEAN = [0.43237713785804116, 0.49941626449353244, 0.48560741861744905]
#TRAIN_STD = [0.2665100547329813, 0.22770540015765814, 0.2321024260764962]

TRAIN_MEAN = [0.48560741861744905, 0.49941626449353244, 0.43237713785804116]
TRAIN_STD = [0.2321024260764962, 0.22770540015765814, 0.2665100547329813]

#TEST_MEAN = [0.4311430419332438, 0.4998156522834164, 0.4862169586881995]
#TEST_STD = [0.26667253517177186, 0.22781080253662814, 0.23264268069040475]

TEST_MEAN = [0.4862169586881995, 0.4998156522834164, 0.4311430419332438]
TEST_STD = [0.23264268069040475, 0.22781080253662814, 0.26667253517177186]

#DATA_PATH = '/nfs/cold_project/baiyu/Caltech-UCSD Birds-200-2011/CUB_200_2011'
DATA_PATH = '/nfs/project/baiyu/CUB200_2011/CUB_200_2011'

#MILESTONES = [100, 130, 160]
MILESTONES = [300, 350, 400]

#weights file directory
CHECKPOINT_PATH = 'checkpoints'

TIME_NOW = datetime.now().isoformat()

#tensorboard log file directory
LOG_DIR = 'runs'

#save weights file per SAVE_EPOCH epoch
SAVE_EPOCH = 10

#input image size for network
IMAGE_SIZE = 224



